JpGU-AGU Joint Meeting 2017

Presentation information

[EJ] Poster

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI29] [EJ] Data-driven analysis, modeling and prediction in geosciences

Sat. May 20, 2017 1:45 PM - 3:15 PM Poster Hall (International Exhibition Hall HALL7)

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Dmitri Kondrashov(University of California, Los Angeles), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Sergey Kravtsov(University of Wisconsin Milwaukee)

[MGI29-P12] Modelling nitrous oxide emissions in a wheat-maize system of North China Plain

*Jingjing Xu1 (1.Institute of Atmospheric Physics, Chinese Academy of Sciences)

Concentrations of atmospheric nitrous oxide (N2O), a potent greenhouse gas, has been continuously increasing and cropland soils are one of the largest sources of N2O. Variations in environmental and anthropogenic alterations have great impacts on both the frequency and magnitude of N2O emissions. Based on the measurements from a wheat-maize system of North China Plain, we parameterized the APSIM model which was initially developed in Australia, for simulating nitrous oxide emissions under different agricultural management practices. After calibrating one of the key parameters, i.e., fraction of N2O lost in nitrification (k2), the results showed that the model can well capture the daily nitrous oxide fluxes under different nitrogen fertilization treatments, but underestimated some large peak fluxes. By pooling all data together, the calibrated APSIM model also showed a good performance in representing the cumulative N2O emissions with various treatments at both annual and finer (monthly and daily) time scales.